Solution Description
Surplus Prediction & Early Detection
- AI models forecast potential surplus by analyzing:
- Sales trends
- Inventory turnover
- Seasonal demand shifts
- Promotional effectiveness
- Identifies slow-moving or overstocked SKUs early.
Root Cause Analysis
- Diagnoses why surplus occurred (e.g., overproduction, inaccurate forecasts, failed promotions).
- Recommends corrective actions for future planning cycles.
Dynamic Reallocation & Redistribution
- Suggests moving surplus to regions or channels with higher demand.
- Optimizes redistribution costs and timelines.
Smart Discounting & Liquidation
- AI recommends markdown strategies that maximize margin recovery.
- Identifies the best channels for clearance (e.g., outlet stores, online flash sales, B2B liquidation).
Alternative Monetization Paths
- Recommends donation, recycling, or repurposing options aligned with ESG goals.
- AI matches surplus with nonprofit or secondary market partners.
Integration with IBP & Supply Chain Systems
- Feeds surplus insights back into demand planning and production systems.
- Helps prevent future overstock through continuous learning.